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修改Poisson的Firth型惩罚方法和对二进制结果的最小平方回归分析

Satoshi Uno1,2, Hisashi Noma1,3, Masahiko Gosho4

  • 1The Graduate Institute for Advanced Studies, The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan.

Biometrical journal. Biometrische Zeitschrift
|October 15, 2024
PubMed
概括

修改Poisson回归显示偏差与小,稀疏的数据. 修改的最小平方回归和Firth类型的惩罚方法提供了改进的,稳定的风险比率估计,特别是在临床和流行病学研究中.

关键词:
第一个类型的惩罚是Firth类型的惩罚.准可能性的准概率.风险差异风险差异的区别风险比率风险比率的风险比率是什么分离问题分离问题

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